DocumentCode
2103742
Title
Robust self-tuning control through detecting changes in system dynamics
Author
Ding, Zhengtao ; Hogg, Brian W.
Author_Institution
Sch. of Eng., Sussex Univ., Brighton, UK
fYear
1993
fDate
15-17 Dec 1993
Firstpage
1589
Abstract
The proposed recursive estimator for self-tuning control (STC) is based on detection of changes between a reference model, estimated from a long data record, and a local model, estimated from recent data. The reference model is used for control input design and it is replaced by the local model if a hypothesis test shows they are different
Keywords
estimation theory; model reference adaptive control systems; parameter estimation; self-adjusting systems; stability; control input design; hypothesis test; local model; recursive estimator; reference model; robust self-tuning control; system dynamics; Control systems; Covariance matrix; Data engineering; Detection algorithms; Recursive estimation; Robust control; Signal processing algorithms; Steady-state; Technological innovation; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
Conference_Location
San Antonio, TX
Print_ISBN
0-7803-1298-8
Type
conf
DOI
10.1109/CDC.1993.325454
Filename
325454
Link To Document